Research Article
BibTex RIS Cite

3D VISUALIZATION APPROACH TO GPR DATA

Year 2017, Volume: 59 Issue: 2, 29 - 40, 21.12.2017

Merve Özkan Okay Refik Samet

Abstract

Ground Penetrating Radar (GPR) is
used to acquire data from near-surface depth for archeological, infrastructural,
etc. researches and applications. Acquired data allow users to visualize and
interpret the underground structures with high accuracy. The 3D visualization
of the underground structures is one of the most problem for GPR research and
applications. Usage of the suitable approach for 3D visualization will increase
the accuracy of visualization and interpretation of underground structures. In
order to contribute to this problem, an approach is proposed. Firstly, GPR data
are acquired from the search area and data preprocessing steps are applied to
GPR data. Secondly, the incomplete or missing data are recovered using
interpolation techniques. Thirdly, the GPR data corresponding to the
underground structures or anomalies are extracted and placed in a 3D cube.
Finally, the extracted GPR data are visualized in 3D environment. The proposed
approach was implemented on the real GPR data acquired from the test area. The
results showed that created 3D models of the underground structures are very
close to real model.

Keywords

Ground Penetrating Radar (GPR) GPR Data Underground Structure Anomalies Profile Trace Sampling Value Preprocessing Interpolation 3D Visualization

References

  • Arkedani, M.R., Neyt, X., Benedetto, D.,Slob, E.,Wesemael, B., Bogaert, P., Craeye, C., Lambot, S., 2014. Soil moisture variability effect on GPR data. 15th International Conference on Ground Penetrating Radar, Brussels, Belgium, p. 214-217.
  • Conroy, J.P. and Radzeviciu, S.J. 2003. Compact MATLAB code for displaying 3D GPR data with translucence. Computers & Geosciences 29, 679–681.
  • Conyers, L.B. 2004. Ground-Penetrating Radar for Archaeology. AltaMira Press, Lanham
  • Dojack, L. 2012. Ground Penetrating Radar Theory, Data Collection, Processing and Interpretation: A Guide for Archaeologists, 7-9.
  • Giannopoulos, A., 2005. Modelling ground penetrating radar by GprMax. Construction and Building Materials 19, 755–762.
  • Goodman, D., Piro, S., Nishimura, Y., Schneider, K., Hongo, H., Higashi, N., Steinberg, J., Damiata, B., 2009. GPR archaeometry, In: Jol, H.M. (Ed.), Ground Penetrating Radar: Theory and Applications. Elsevier, Amsterdam, pp. 479-508.
  • Intyas, I., Suksmono, A.B., Munir, A. 2016. Image Quality Improvement for GPR Acquisition Using Interpolation Method. In: The 22nd Asia-Pacific Conference on Communications, Yogyakarta, Indonesia.
  • Kadioglu, S. and Ulugergerlic E.U. 2012. Imaging karstic cavities in transparent 3D volume of the GPR data set in Akkopru dam, Mugla, Turkey. Nondestructive Testing and Evaluation, 27(3), 263–271.
  • Maeland, E., 1988. On the comparison of interpolation methods. IEEE Transactions on Medical İmaging. 7, 213-217.
  • Nuzzo, L., Leucci, G., Negri, S., Carrozzo, M.T. and Quarta,T. 2002. Application of 3D visualization techniques in the analysis of GPR data for archaeology. Annals Of Geophysıcs, 45(2), 231-337.
  • Ozkan, M. and Samet, R., 2017. “Interpolation Techniques to Recover the Incomplete GPR Data”. In: The 16th International Conference Geoinformatics, Kiev, Ukraine.
  • Samet, R. and Özkan, M. 2016. Incomplete Data Production Techniques in GPR Research and Applications. In: The 15th International Conference Geoinformatics, Kiev, Ukraine.
  • Samet, R., Çelik, E., Tural, S., Şengönül, E., Özkan, M., E., Damcı, “Determining the optimal profile interval by using interpolation techniques in GPR applications”, J.Appl. Geophysics, 2017.
  • Sun, W., Xu, Q., Zhang, H., Yao, Z. 2012. Research on Detection and Visualization of Underground Pipelines. In: The 2nd International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE), Nanjing, Jiangsu, China.
  • Zhao, W., Tian, G., Forte, E., Pipan, M., Wang, Y., Li, X., Shi, Z., Liu, H., 2015. Advances in GPR data acquisition and analysis for archeology. Geophysical Journal International 202, 62-71.

Year 2017, Volume: 59 Issue: 2, 29 - 40, 21.12.2017

Merve Özkan Okay Refik Samet

Abstract

References

  • Arkedani, M.R., Neyt, X., Benedetto, D.,Slob, E.,Wesemael, B., Bogaert, P., Craeye, C., Lambot, S., 2014. Soil moisture variability effect on GPR data. 15th International Conference on Ground Penetrating Radar, Brussels, Belgium, p. 214-217.
  • Conroy, J.P. and Radzeviciu, S.J. 2003. Compact MATLAB code for displaying 3D GPR data with translucence. Computers & Geosciences 29, 679–681.
  • Conyers, L.B. 2004. Ground-Penetrating Radar for Archaeology. AltaMira Press, Lanham
  • Dojack, L. 2012. Ground Penetrating Radar Theory, Data Collection, Processing and Interpretation: A Guide for Archaeologists, 7-9.
  • Giannopoulos, A., 2005. Modelling ground penetrating radar by GprMax. Construction and Building Materials 19, 755–762.
  • Goodman, D., Piro, S., Nishimura, Y., Schneider, K., Hongo, H., Higashi, N., Steinberg, J., Damiata, B., 2009. GPR archaeometry, In: Jol, H.M. (Ed.), Ground Penetrating Radar: Theory and Applications. Elsevier, Amsterdam, pp. 479-508.
  • Intyas, I., Suksmono, A.B., Munir, A. 2016. Image Quality Improvement for GPR Acquisition Using Interpolation Method. In: The 22nd Asia-Pacific Conference on Communications, Yogyakarta, Indonesia.
  • Kadioglu, S. and Ulugergerlic E.U. 2012. Imaging karstic cavities in transparent 3D volume of the GPR data set in Akkopru dam, Mugla, Turkey. Nondestructive Testing and Evaluation, 27(3), 263–271.
  • Maeland, E., 1988. On the comparison of interpolation methods. IEEE Transactions on Medical İmaging. 7, 213-217.
  • Nuzzo, L., Leucci, G., Negri, S., Carrozzo, M.T. and Quarta,T. 2002. Application of 3D visualization techniques in the analysis of GPR data for archaeology. Annals Of Geophysıcs, 45(2), 231-337.
  • Ozkan, M. and Samet, R., 2017. “Interpolation Techniques to Recover the Incomplete GPR Data”. In: The 16th International Conference Geoinformatics, Kiev, Ukraine.
  • Samet, R. and Özkan, M. 2016. Incomplete Data Production Techniques in GPR Research and Applications. In: The 15th International Conference Geoinformatics, Kiev, Ukraine.
  • Samet, R., Çelik, E., Tural, S., Şengönül, E., Özkan, M., E., Damcı, “Determining the optimal profile interval by using interpolation techniques in GPR applications”, J.Appl. Geophysics, 2017.
  • Sun, W., Xu, Q., Zhang, H., Yao, Z. 2012. Research on Detection and Visualization of Underground Pipelines. In: The 2nd International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE), Nanjing, Jiangsu, China.
  • Zhao, W., Tian, G., Forte, E., Pipan, M., Wang, Y., Li, X., Shi, Z., Liu, H., 2015. Advances in GPR data acquisition and analysis for archeology. Geophysical Journal International 202, 62-71.
There are 15 citations in total.

Details

Primary Language English
Journal Section Review Articles
Authors

Merve Özkan Okay This is me 0000-0002-1071-2541

Refik Samet 0000-0001-8720-6834

Publication Date December 21, 2017
Submission Date October 27, 2017
Acceptance Date December 18, 2017
Published in Issue Year 2017 Volume: 59 Issue: 2

Cite

APA Özkan Okay, M., & Samet, R. (2017). 3D VISUALIZATION APPROACH TO GPR DATA. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 59(2), 29-40.
AMA Özkan Okay M, Samet R. 3D VISUALIZATION APPROACH TO GPR DATA. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. December 2017;59(2):29-40.
Chicago Özkan Okay, Merve, and Refik Samet. “3D VISUALIZATION APPROACH TO GPR DATA”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 59, no. 2 (December 2017): 29-40.
EndNote Özkan Okay M, Samet R (December 1, 2017) 3D VISUALIZATION APPROACH TO GPR DATA. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 59 2 29–40.
IEEE M. Özkan Okay and R. Samet, “3D VISUALIZATION APPROACH TO GPR DATA”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., vol. 59, no. 2, pp. 29–40, 2017.
ISNAD Özkan Okay, Merve - Samet, Refik. “3D VISUALIZATION APPROACH TO GPR DATA”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 59/2 (December 2017), 29-40.
JAMA Özkan Okay M, Samet R. 3D VISUALIZATION APPROACH TO GPR DATA. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2017;59:29–40.
MLA Özkan Okay, Merve and Refik Samet. “3D VISUALIZATION APPROACH TO GPR DATA”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 59, no. 2, 2017, pp. 29-40.
Vancouver Özkan Okay M, Samet R. 3D VISUALIZATION APPROACH TO GPR DATA. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2017;59(2):29-40.

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.